Effectiveness investigation of travel demand management measures in Beijing: Existing measures and a potential measure–tradable driving credit

Facing serious challenges of traffic congestion and air pollution, Beijing has implemented a series of traffic polices. In this paper, we first investigate the effectiveness of existing traffic measures in Beijing and analyse the underlying factors from the perspective of drivers, which provide insights for the traffic regulations in other cities worldwide. While the car ownership restriction has effectively limited the total number of vehicle in Beijing, the effect of the car use restriction only lasts for a short period. A survey on drivers’ opinions and attitudes towards the traffic situation and a potential measure, i.e., tradable driving credit (TDC), is conducted. Although traffic data shows that congestion improved and traffic was slightly congested in recent years in Beijing, most respondents believe congestion is still serious in Beijing. However, they think the impact of traffic congestion on their personal car use is relatively low, which could partly explain why so many travellers still depend on driving given the relative convenient transit facilities in Beijing. In addition, a large proportion of respondents treat personal cars as a representation of social status and think driving bring them pleasures, which indicates that it may be hard to further decrease the share of car trips in Beijing. According to their attitudes and social-economical characters, respondents’ willingness on their changes of travel behaviours under TDC is investigated. The results show that individuals’ social-economic characters such as income level, education and family size and the symbolic meaning of personal cars have significant influence on respondents’ willingness to switch to other transport modes.     

Why would people want to travel more with automated cars?

The use of automated vehicles (AVs) may enable drivers to focus on non-driving related activities while travelling and reduce the unwanted efforts of the driving task. This is expected to make using a car more attractive, or at least less unpleasant compared to manually driven vehicles. Consequently, the number and length of car trips may increase. The aim of this study was to identify the main contributors to travelling more by AV.We analysed the L3Pilot project’s pilot site questionnaire data from 359 respondents who had ridden in a conditionally automated car (SAE level 3) either as a driver or as a passenger. The questionnaire queried the respondents’ user experience with the automated driving function, current barriers of travelling by car, previous experience with advanced driving assistance systems, and general priorities in travelling. The answers to these questions were used to predict willingness to travel more or longer trips by AV, and to use AVs on currently undertaken trips. The most predictive subset of variables was identified using Bayesian cumulative ordinal regression with a shrinkage prior (regularised horseshoe).The current study found that conditionally automated cars have a substantial potential to increase travelling by car once they become available. Willingness to perform leisure activities during automated driving, experienced usefulness of the system, and unmet travel needs, which AVs could address by making travelling easier, were the main contributors to expecting to travel more by AV. For using AVs on current trips, leisure activities, trust in AVs, satisfaction with the system, and traffic jams as barriers to current car use were important contributors. In other words, perceived usefulness motivated travelling more by AV and using AVs on current trips, but also other factors were important for using them on current trips. This suggests that one way to limit the growth of traffic with private AVs could be to address currently unmet travel needs with alternative, more sustainable travel modes.     

Shopping for clothes: Body satisfaction, appearance investment, and functions of clothing among female shoppers

The present study aimed to investigate the link between clothing and body experience in women of different ages. Participants were 162 female clothes shoppers between the ages of 18 and 55 who completed questionnaire measures of body image, functions of clothing, self-esteem, and enjoyment of clothes shopping. It was found that clothing was worn primarily for assurance and fashion by women of all ages. On the other hand, BMI and body dissatisfaction were related to the use of clothing for camouflage purposes and to a more negative clothes shopping experience. Both components of appearance investment were related to choice of clothes for fashion and assurance. However, the self-evaluative salience component was negatively related, while the motivational salience was positively related, to enjoyment of clothes shopping. It was concluded that although clothing is an under-researched aspect of body image, it represents an important part of women's appearance management, whatever their age.     

Is it really too far? Overestimating walk time and distance reduces walking

In this paper we use an intercept survey of 1,297 people at seven locations in New Jersey to answer three questions about perceived distances and walk times to nearby destinations. First, we seek to clarify conflicting results from the literature by asking: what factors are associated with perceived distance and walk times? Like other studies, we find that people overestimate both walk times and distances. We find that characteristics of the route matter. People are more likely to overestimate in car-dependent locations, along routes with many turns or barriers, or for destinations that are relatively closer. In terms of personal characteristics, experience walking and familiarity with the area both lead to lower estimates, while concerns about crime, getting lost, or carrying something heavy increase estimates. Next, we explore whether overestimating walk times and distances reduces the likelihood of walking. We find that people who overestimate are less likely to walk, everything else equal. Together, these results suggest that wayfinding campaigns that clarify the travel time to nearby destinations and ease the fear of getting lost are likely to improve perceptions and increase walking. We make an additional contribution by highlighting important differences between our university and town center samples, which raises questions about the reliance on student samples in research.     

How do shoppers behave online? An observational study of online grocery shopping

The pace of online shopping revenue growth means it is important for retailers and manufacturers to understand how consumers behave online compared with their behaviour in brick and mortar stores. We conducted a study in which the detailed behaviour of 40 shoppers was screen recorded while they each undertook an online shopping ‘trip’. The shopping trip comprised purchasing a basket of 12 commonly bought grocery categories at one of two major retailers. The shoppers were all inexperienced in online grocery shopping. Results show that online grocery shopping is fast, even for these consumers who were new to it – half of the online shoppers spent less than 10 seconds purchasing from a category. This result is very similar to that of past studies in physical stores. Indeed, half of all the 12 item‐shopping trips took less than 10 minutes. Also, most purchases were made from the first category page displayed in the retailer's online store. Shoppers also consistently used the default display options chosen by the retailers but used a combination of navigational tools to find their products. We conclude that online shoppers do not behave differently from those offline in terms of time spent or effort expended. Online shopping, in the grocery context at least, seems to primarily reflect a desire for time efficiency on the part of the shopper. In that regard, online shopping seems very similar to in‐store shopping. The study begins the job of documenting shopper behaviour into this new channel and provides practical knowledge for retailers and manufacturers. Copyright © 2015 John Wiley & Sons, Ltd.